Optimization of institutional framework for mangrove ecosystem management in Jakarta Bay: A multi-stakeholder collaborative approach

R Budiono Subambang (), Ario Damar (), Taryono Taryono (), Rahmat Kurnia () and Dietriech G. Bengen ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 8, 87-99

Abstract: This study explores the optimization of institutional frameworks for managing the mangrove ecosystem in Jakarta Bay, a complex social-ecological system requiring effective management across multiple jurisdictions. The research employs integrated DPSIR (Drivers, Pressures, State, Impact, Response), MICMAC (Matrix of Cross-Impact Multiplications Applied to Classification), and MACTOR (Matrix of Alliance and Conflict: Tactics, Objectives, and Recommendations) approaches. Data was collected between October 2023 and January 2024 from stakeholders in three provinces: Banten, DKI Jakarta, and West Java. The study used field observations, structured interviews, focus group discussions, and secondary data, including remote sensing analysis of Landsat 8 and Sentinel-2 imagery (2013-2023). Findings reveal five driving forces, four pressures, two states, seven impacts, and six responses through DPSIR analysis. MICMAC identified four key factors influencing mangrove management: monitoring system implementation, biodiversity levels, ecosystem health, and extreme event frequency. MACTOR analysis of 19 stakeholders shows central government actors possess high influence but low dependence, while regional governments, the private sector, and local communities display varying influence and high dependence. The study proposes four strategic approaches for institutional optimization: (1) Determinant-Driver Factors, (2) Autonomous-Divergence, (3) Influential-Convergence, and (4) Influential-Intermediate Convergence. The optimal structure recommends the Jakarta Bay Mangrove Management Forum (FPMTJ) for coordination and the Jakarta Bay Mangrove Management Agency (BPMTJ) for implementation. Comparative analysis indicates significant improvements in institutional performance, with average scores rising from 2.3 to 4.2, demonstrating better coordination, reduced task duplication, enhanced adaptability, and faster decision-making (1-2 months).

Keywords: Institutional optimization; Jakarta Bay; Mangrove management; MICMAC-MACTOR analysis; Multi-stakeholder collaboration; Social-ecological system. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijirss.com/index.php/ijirss/article/view/10548/2516 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:8:p:87-99:id:10548

Access Statistics for this article

International Journal of Innovative Research and Scientific Studies is currently edited by Natalie Jean

More articles in International Journal of Innovative Research and Scientific Studies from Innovative Research Publishing
Bibliographic data for series maintained by Natalie Jean ().